2016
DOI: 10.1080/13683500.2016.1224820
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Exploring urban tourism crowding in Shanghai via crowdsourcing geospatial data

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Cited by 72 publications
(52 citation statements)
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“…Or even more pronounced, it could mean that an improved accessibility leads to higher use levels, as noted by Shi et al . ().…”
Section: Multilevel Ordinal Regression Resultsmentioning
confidence: 97%
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“…Or even more pronounced, it could mean that an improved accessibility leads to higher use levels, as noted by Shi et al . ().…”
Section: Multilevel Ordinal Regression Resultsmentioning
confidence: 97%
“…), or sentiment analysis (Popp ; Shi et al . ). Adopting perceived crowding directly as the explanatory variable has revealed significant effects on space use (e.g.…”
Section: Introductionmentioning
confidence: 97%
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“…Philander et al [23] demonstrate the application of sentiment analysis using Twitter data to measure customers' perceptions of hospitality. Shi et al [24] apply sentiment analysis to data obtained from Weibo to understand tourist opinions about crowdedness. Zhu et al [25] detect sentiment hotspots in space and time via deep learning with geotagged photo data from Flickr.…”
Section: Related Workmentioning
confidence: 99%